Poznań, Poland, 9 - 12 September, 2018

The scope of DMGATE is to establish a forum for data scientists working at the edge of academic research and commercial applications, keen on developing and using AI-based methods in data mining projects and challenges. DMGATE continues the tradition of data mining competitions organized at FedCSIS.

This year’s competition starts on March 15 and lasts until April 30. The task is to predict win rates of Hearthstone players using various decks, based on logs from games played with similar decks. Further details will be provided soon.

As usual, competition winners will be granted with financial awards and/or free conference registration. Moreover, we will invite a small group of authors of the most interesting competition solutions to submit papers that will be reviewed on special fast-track basis.

Starting from this year, we also welcome regular paper submissions describing new approaches for analyzing data sets published online during previous competitions. These papers will be peer-reviewed by top specialists in the area of data science and – if accepted – they will be presented at the DMGATE session together with the papers prepared by this year’s competition winners.

We believe that it is highly important for the data science community to keep up the discussion on both current and past data mining competitions, in order to jointly develop a firm knowledge base on how to apply AI-based data mining methods in real life.